Śluzek, Andrzej2023-09-212023-09-212023Śluzek A., Do We Always Need AI for Image Colorization?. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 31-36, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.3978-83-66741-92-8http://hdl.handle.net/11652/4778https://doi.org/10.34658/9788366741928.3Monochrome image (re-)colorization is a problem where human guidance is considered indispensable (even if AI is used). We challenge this approach by presenting a method for converting grayscale images into credible color counterparts with no priors provided/learned on image content, semantics, etc. In contrast to our recent works (focusing on images from non-visual domains) this paper discusses mainly colorization of real-world images for which certain coloristic expectations exist. We argue (and show on selected examples) that a simple technique combining non-deterministic heuristics and randomized flood-fill can deliver colored outputs which are visually convincing and (occasionally) similar to the ground-truth images.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionimage coloringde-colorizationcolor modelsflood-fillkolorowanie obrazuodbarwianiemodele kolorówwypełnianieRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.3